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Guides

How to Design Token-Backed Reputation Systems

A technical guide for developers on implementing reputation systems using non-transferable tokens for governance, access control, and rewarding contributors in social dApps.
Chainscore © 2026
introduction
ARCHITECTURE GUIDE

How to Design Token-Backed Reputation Systems

Token-backed reputation systems use on-chain assets to quantify and incentivize user contributions. This guide covers the core design patterns, from staking mechanisms to sybil resistance.

A token-backed reputation system quantifies a user's standing by linking it to a staked or locked crypto asset. Unlike off-chain social scores, these systems are transparent, programmable, and composable. The foundational model is simple: users deposit tokens into a smart contract to earn a reputation score, which often grants governance rights, access to features, or rewards. This creates a direct, verifiable economic stake in the network's health. Major protocols like Curve Finance (veCRV) and Aave (stkAAVE) pioneered this model to align long-term incentives.

Designing the staking mechanism is the first critical step. You must decide between a linear model, where reputation is directly proportional to tokens staked, and a diminishing returns model (like vote-escrow), which rewards longer lock-ups. The contract must securely handle deposits, lock periods, and slashing conditions for malicious behavior. For example, a basic Solidity staking contract would track each user's stakedAmount and lockUntil timestamp, calculating a score as stake * sqrt(lockDuration) to incentivize commitment.

Sybil resistance—preventing users from creating many fake identities—is paramount. A pure token-stake system is vulnerable to wealthy attackers. Effective designs incorporate proof-of-personhood (like Worldcoin), soulbound tokens (non-transferable SBTs), or context-specific attestations. The score formula can blend staked value with on-chain history, such as transaction count or protocol-specific interactions. This creates a cost to attack that isn't purely financial.

The reputation score must be made actionable within the application. Common utilities include weighted voting in DAOs, fee discounts or boosted rewards in DeFi pools, and access gating to premium features. The smart contract should expose a standard function, like getReputation(address user), for other dApps to query, enabling composability across the ecosystem. Ensure the calculation is gas-efficient to avoid bottlenecks.

Finally, consider the economic lifecycle and potential risks. Design a clear path for users to exit, with potential reputation decay or cooldown periods to prevent sudden governance shifts. Audit for common vulnerabilities: manipulation of the scoring oracle, flash loan attacks to temporarily inflate stake, and centralization risks if the staking token is too concentrated. Regular community governance should oversee parameter adjustments to keep the system resilient and aligned with network goals.

prerequisites
PREREQUISITES AND TECHNICAL FOUNDATION

How to Design Token-Backed Reputation Systems

This guide covers the core architectural patterns and smart contract logic required to build decentralized reputation systems using token mechanics.

A token-backed reputation system uses a non-transferable or semi-fungible token (SFT) to represent a user's standing within a protocol. Unlike a standard ERC-20 token, its primary purpose is not monetary value but to encode trust, contributions, or social capital on-chain. The foundational design choice is the token standard: ERC-721 for unique, non-fungible reputation scores, ERC-1155 for semi-fungible badges with multiple copies, or a custom ERC-20 with mint/burn restrictions. The key is to prevent simple transferability, which would allow reputation to be bought and sold, undermining the system's integrity. This is often enforced via an overridden transfer function that reverts or by using a soulbound token (SBT) pattern.

The core logic resides in the reputation oracle—a smart contract module that defines how reputation is earned and lost. This involves mapping specific on-chain actions to reputation score adjustments. For example, a lending protocol might increase a user's reputation token balance for successful loan repayments and decrease it for defaults. A governance system could mint a reputation NFT for active, high-quality forum participation. These rules must be transparent, immutable, and resistant to sybil attacks. Common patterns include using verifiable credentials, attestations from trusted entities (like EAS - Ethereum Attestation Service), or algorithmically scoring on-chain history.

Integrating this system requires careful access control and upgradeability planning. The minting/burning functions should be restricted to a secure, often multi-sig controlled, manager contract or a decentralized autonomous organization (DAO). To ensure longevity, consider using a proxy pattern like the Transparent Proxy or UUPS for future rule upgrades, as community standards for reputation may evolve. All state changes should emit clear events for off-chain indexing, enabling dApp frontends and analytics dashboards to track reputation dynamics in real-time.

A critical technical challenge is designing the decay or slashing mechanisms. Static reputation becomes stale. Systems like SourceCred or Gitcoin Passport incorporate time-based decay or require periodic re-verification to ensure scores reflect current contributions and behavior. Slashing logic, where reputation is burned due to malicious acts, must have a clear, disputeable process to avoid centralized punishment. This often involves a challenge period or a decentralized court system like Kleros.

Finally, the utility of the reputation token must be defined. It can gate access to features—such as higher borrowing limits, curated governance proposals, or exclusive mint allowlists—by having other contracts check the user's balance or specific token ID via the IERC721.balanceOf or IERC1155.balanceOf functions. The design completes the loop: actions build reputation, and reputation unlocks new opportunities, creating a self-reinforcing ecosystem of trusted participation.

key-concepts
TOKEN-BACKED DESIGN

Core Concepts for Reputation Systems

Token-backed reputation systems use on-chain assets to create verifiable, transferable, and economically-aligned user profiles. This guide covers the foundational models and mechanisms.

03

Reputation Decay & Refreshing

Mechanisms to prevent reputation stagnation and ensure active participation. Reputation scores decrease over time unless refreshed through specific actions.

  • Linear Decay: Score reduces by a fixed amount per block or epoch.
  • Activity-Based Refresh: Users must vote, propose, or contribute to reset their decay timer.
  • Purpose: Ensures the reputation graph reflects current, engaged participants, not historical actors.
05

Reputation Portability & Composability

Designing systems where reputation earned in one context can be used, with permission, in another.

  • Standards: Using cross-chain attestations or a shared registry (like Ethereum Name Service for data).
  • Composability: A user's governance reputation in DAO A could grant them a trust bonus in lending protocol B.
  • Challenge: Balancing portability with context-specificity; not all reputation should transfer.
architectural-patterns
ARCHITECTURAL PATTERNS

How to Design Token-Backed Reputation Systems

Token-backed reputation systems link on-chain identity to a quantifiable, transferable score, creating new models for governance, credit, and social coordination.

A token-backed reputation system uses a non-transferable or semi-transferable token (often an ERC-20 or ERC-1155 variant) to represent a user's standing within a protocol. Unlike fungible tokens used for payment, the primary value of a reputation token is its signaling power. Key design decisions start with defining the reputation source: will it be derived from on-chain activity (e.g., governance participation, liquidity provision), off-chain contributions (verified via oracles or attestations), or a hybrid model? The source directly impacts the system's security, sybil-resistance, and perceived legitimacy.

The minting and burning mechanics form the core economic engine. Reputation is typically minted based on verified actions and can be subject to decay (burned over time) to incentivize ongoing participation, a concept known as streaming reputation. For example, a user who consistently votes on Snapshot proposals might earn a steady stream of reputation tokens, while inactivity causes their balance to slowly decay. This prevents reputation from becoming a stagnant asset and aligns long-term incentives. Smart contracts must carefully manage permissions for these mint/burn functions, often delegating them to a secure, upgradeable module or a decentralized oracle network.

Transferability is a critical spectrum. Fully non-transferable (soulbound) tokens maximize sybil-resistance but limit user flexibility. Semi-transferable models, like those with a cooldown period, a fee, or requiring governance approval, offer a compromise. Another pattern is using a dual-token system: a non-transferable "stake" token that generates a transferable "reputation points" token, similar to Curve Finance's veCRV model. This separates the illiquid voting power from liquid, tradable value. Your choice here dictates whether reputation is treated as a personal credential or a market commodity.

Integrating reputation into utility functions is where value is realized. Common utilities include: weighted voting in DAOs, access to exclusive pools or features, reduced fees, and serving as collateral in undercollateralized lending. The smart contract logic for these utilities must reference the reputation token balance, often using a snapshot mechanism (like ERC-20Snapshots or ERC-1155) to prevent manipulation. For instance, a lending protocol might use a user's reputation score to determine their credit limit, querying the balance from a specific block number at loan initiation.

Security and attack vectors require meticulous design. Beyond standard smart contract risks, reputation systems are vulnerable to sybil attacks, where a user creates multiple identities. Mitigations include: requiring a minimum stake of a valuable asset (like ETH) to earn reputation, using proof-of-personhood protocols (like Worldcoin), or implementing a web-of-trust model. Reputation laundering—the transfer of reputation to malicious actors—must be addressed through transfer restrictions. Regular audits and a robust, time-locked upgrade path for the core logic are essential for managing these risks in a live environment.

When implementing, start with a minimal viable reputation contract. Use OpenZeppelin libraries for ERC-20 or ERC-1155 base functionality. A basic structure includes a mint function callable by a trusted oracle or governance, a decay function that periodically burns tokens, and a getVotingPower view function that applies a snapshot. Tools like Tally for governance and The Graph for indexing reputation histories are invaluable. Ultimately, the most effective systems are those where the reputation metric is transparent, difficult to game, and directly tied to behaviors that benefit the long-term health of the protocol.

implementing-sbt
GUIDE

Implementing Soulbound Tokens (SBTs)

This guide explains how to design token-based reputation systems using non-transferable Soulbound Tokens, covering core concepts, implementation patterns, and real-world use cases.

Soulbound Tokens (SBTs) are non-transferable digital tokens that represent credentials, affiliations, or achievements. Unlike standard ERC-20 or ERC-721 tokens, SBTs are permanently bound to a single wallet address, often referred to as a "Soul." This immutability makes them ideal for building on-chain reputation systems, where a user's history, skills, or memberships need to be verifiable but not tradable. The concept, popularized by Ethereum co-founder Vitalik Buterin, shifts focus from financialized assets to social identity and trust within decentralized networks.

Designing a reputation system with SBTs requires careful consideration of issuance, revocation, and data structure. A common pattern is to implement an ERC-721-like contract with a _beforeTokenTransfer hook that reverts all transfer attempts, effectively making tokens soulbound. Issuance logic is critical: tokens can be minted by a trusted entity (like a DAO or protocol) based on off-chain verification, or programmatically via on-chain proofs (e.g., completing a governance vote or providing liquidity). For revocation, you can implement a burn function controlled by the issuer or through community consensus mechanisms.

For developers, a basic SBT contract skeleton in Solidity might inherit from OpenZeppelin's ERC721 and override the transfer functions. The key is to prevent transfers in the _beforeTokenTransfer hook. You must also decide on metadata storage: will token attributes (like reputation score or achievement details) be stored on-chain (gas-intensive but immutable) or referenced via an off-chain URI (flexible but requiring trust in the data host)? Hybrid approaches using decentralized storage like IPFS or Arweave with on-chain hashes are common for balancing cost and verifiability.

Real-world applications are already emerging. Proof of Attendance Protocols (POAP) are a primitive form of SBT, awarded for event participation. More advanced systems include credit scoring in DeFi (where a wallet's repayment history mints positive reputation tokens), DAO governance (where voting power is tied to contribution SBTs), and professional credentialing (where certifications are issued as non-transferable NFTs). Each use case dictates specific design choices around privacy, aggregation, and the ability for a user to compose multiple SBTs to form a composite reputation.

Implementing a robust system requires addressing key challenges. Sybil resistance is paramount; without it, users could create infinite wallets to farm reputation. Solutions include linking to biometric proofs, social verification, or requiring a stake of transferable assets. Privacy is another concern, as a public ledger of all achievements can be invasive. Technologies like zero-knowledge proofs (ZKPs) allow users to prove they hold a credential without revealing which one. Furthermore, consider interoperability standards; the Ethereum community is exploring proposals like ERC-4973 (Account-bound Tokens) and ERC-5192 (Minimal Soulbound NFT) to standardize the SBT interface.

To start building, audit existing implementations like the EIP-4973 reference contract or OpenZeppelin's discussions on non-transferable NFTs. Use testnets to prototype issuance and revocation flows. The goal is to create a system where reputation is a persistent, composable, and user-controlled asset, moving web3 beyond pure speculation towards verifiable social capital. This foundation enables trustless coordination at scale, from decentralized hiring to undercollateralized lending.

reputation-scoring-algorithms
GUIDE

How to Design Token-Backed Reputation Systems

A technical guide to designing robust, Sybil-resistant reputation scoring algorithms using on-chain tokens as a foundational signal.

Token-backed reputation systems use on-chain holdings and activity as a proxy for a user's stake and commitment within a protocol. Unlike traditional social graphs, these systems are permissionless and cryptographically verifiable. The core design challenge is to create a scoring algorithm that is resistant to Sybil attacks—where a single entity creates many fake accounts—while accurately reflecting genuine contribution and alignment. The native token often serves as the primary, but not sole, input for the reputation score, providing a cost to acquire influence.

A basic reputation score can be derived from a user's token balance, but this alone is insufficient and favors wealth. Effective designs incorporate multiple dimensions of on-chain behavior. Key data inputs include: - Vesting schedules (e.g., locked vs. liquid tokens) - Holding duration (age of the oldest token) - Transaction history (frequency of protocol interactions) - Delegation activity (participating in governance). A common formula weights locked or staked tokens more heavily than liquid holdings, as they signal longer-term commitment.

To implement a basic version, you can query on-chain data using a tool like The Graph and calculate a score. Below is a simplified Solidity-inspired pseudocode for a scoring function that considers balance and age.

solidity
function calculateReputation(address user) public view returns (uint256) {
    uint256 balance = token.balanceOf(user);
    uint256 firstSeen = firstTransactionBlock[user];
    uint256 age = block.number - firstSeen;
    
    // Simple formula: sqrt(balance) * log(age + 1)
    // sqrt reduces whale dominance, log rewards longevity
    uint256 score = sqrt(balance) * log2(age + 1);
    return score;
}

This model penalizes simple token buys and rewards consistent, long-term holders.

For advanced Sybil resistance, combine token metrics with proof-of-personhood solutions like Worldcoin or BrightID, or social graph analysis from platforms like Lens or Farcaster. Another approach is a gradual token minting model, where reputation (represented as a non-transferable NFT or points) is earned slowly through verified actions, making Sybil farming economically impractical. Projects like Gitcoin Passport demonstrate this hybrid approach, aggregating multiple credentials to compute a trust score.

The designed reputation score must be integrated into specific protocol functions to be useful. Primary applications include: Weighted governance voting, where voting power is a function of the reputation score instead of pure token balance. Curated registries or allowlists, granting access to features based on a score threshold. Automated airdrop qualifications, filtering out Sybils to target real users. When designing, you must decide if the score is transparent and calculable by anyone or computed privately by a trusted oracle, each with trade-offs for security and complexity.

Continuous evaluation is critical. Monitor the system for emerging attack vectors, such as flash loan attacks to temporarily inflate balances or collusion rings. The algorithm parameters (like weightings and decay functions) should be upgradeable via governance. Ultimately, a well-designed token-backed reputation system creates a costly-to-fake signal of trust, enabling more equitable and secure decentralized applications. Start with a simple, transparent formula, iterate based on data, and layer in additional attestations over time to strengthen Sybil resistance.

peer-attestation-mechanism
GUIDE

How to Design Token-Backed Reputation Systems

Token-backed reputation systems use on-chain assets to create verifiable, sybil-resistant social graphs. This guide explains the core design patterns and implementation strategies.

A token-backed reputation system establishes a user's credibility by linking their on-chain holdings or actions to a quantifiable score. Unlike traditional Web2 systems, these mechanisms are transparent, portable, and resistant to centralized manipulation. The core idea is simple: ownership of a specific token (like a governance token, NFT, or soulbound token) serves as a proxy for trust, stake, or membership. This creates a sybil-resistant foundation, as acquiring the requisite tokens has a real economic cost, making it expensive to create fake identities at scale. Popular implementations include Proof of Personhood protocols like BrightID, which use social attestation, and soulbound tokens (SBTs), which represent non-transferable achievements.

Designing such a system requires careful consideration of several key components. First, define the reputation source: will it be based on token ownership (e.g., holding 100 $GOV tokens), on-chain activity (e.g., number of successful DAO proposals), or off-chain attestations (e.g., peer vouches)? Next, decide on the staking mechanism. A common pattern is to require users to stake tokens to make an attestation; a false claim results in a slashing penalty, aligning incentives with honesty. The attestation graph must be stored on-chain, often in a registry smart contract that maps addresses to scores or attestations from peers. Use a standard like EIP-4973 (Account-bound Tokens) for SBTs to ensure interoperability.

Here is a simplified Solidity example for a basic staked attestation contract. Users stake a configurable amount of a reputation token to vouch for another address. Malicious attestations can be disputed, leading to slashing.

solidity
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.19;

import "@openzeppelin/contracts/token/ERC20/IERC20.sol";

contract StakedAttestation {
    IERC20 public stakeToken;
    uint256 public requiredStake;
    
    // attester => (subject => attestationHash)
    mapping(address => mapping(address => bytes32)) public attestations;
    mapping(address => uint256) public lockedStake;

    constructor(IERC20 _stakeToken, uint256 _requiredStake) {
        stakeToken = _stakeToken;
        requiredStake = _requiredStake;
    }

    function attest(address subject, bytes32 attestationHash) external {
        require(stakeToken.transferFrom(msg.sender, address(this), requiredStake), "Stake failed");
        attestations[msg.sender][subject] = attestationHash;
        lockedStake[msg.sender] += requiredStake;
    }

    function slashAttester(address attester) external {
        // Logic to verify a false attestation (e.g., via a dispute oracle)
        // Then slash the locked stake
        uint256 stake = lockedStake[attester];
        lockedStake[attester] = 0;
        // Burn or redistribute the slashed tokens
    }
}

Integrating off-chain data is often necessary for richer reputation. Use oracles like Chainlink or verifiable credentials (VCs) with decentralized identifiers (DIDs) to bring attested real-world data on-chain. A hybrid approach might use an SBT to represent a verified credential, which can then be used as a gate for on-chain actions. For example, a Gitcoin Passport SBT aggregates stamps from various Web2 and Web3 services to compute a unique humanity score. When designing the scoring algorithm, consider decay mechanisms (where reputation diminishes over time unless reaffirmed) and context-specificity (a user's reputation in a DeFi protocol may differ from their reputation in a gaming DAO).

Major challenges include privacy, as pure on-chain systems are transparent, and initial bootstrapping, where new users have no reputation. Privacy can be addressed with zero-knowledge proofs (ZKPs), allowing users to prove they hold a reputation credential without revealing their entire history. Bootstrapping often requires a trusted seed group or progressive decentralization, where initial attestations are made by a known entity before opening the system to peer-to-peer vouching. Always audit the economic incentives; ensure the cost of attacking the system (through token acquisition and slashing risk) significantly outweighs the potential benefit.

To implement a production-ready system, study existing frameworks. The Ethereum Attestation Service (EAS) provides a standard schema and on-chain registry for making, tracking, and verifying attestations. Orange Protocol and Gitcoin Passport offer open-source infrastructure for composable reputation. Start with a clear use case: are you building a sybil-resistant governance system, a collateralized peer review network, or a verified contributor marketplace? Define the minimal viable reputation primitive, deploy it on a testnet, and rigorously test the incentive model against collusion and attack vectors before mainnet launch.

COMPARISON

Reputation Integration Use Cases and Implementation

How different integration methods handle key requirements for token-backed reputation systems.

Integration FeatureDirect On-ChainOracle-BasedZK Attestation

Data Freshness

Real-time

1-5 min delay

Real-time

Gas Cost per Update

$10-50

$2-5

$0.5-2

Privacy for Users

Sybil Resistance

Native token stake

Centralized oracle set

ZK proof of uniqueness

Cross-Chain Portability

Developer Complexity

Low

Medium

High

Audit Trail Verifiability

Maximum Throughput (TPS)

~50

~1000

~100

integrating-access-control
TOKEN-BASED SYSTEMS

Integrating Reputation into Access Control and Governance

Token-backed reputation systems create persistent, transferable identities for users, enabling sophisticated on-chain governance and access control beyond simple token voting.

Token-based reputation systems move beyond simple token-weighted voting by creating a persistent, verifiable identity for each user. Instead of a wallet's native token balance being the sole credential, a separate, non-transferable reputation token (often an ERC-1155 or ERC-721) is minted to represent a user's standing. This token's balance or attributes are updated based on on-chain actions—such as successful governance participation, protocol contributions, or loan repayments—creating a dynamic score. This score can then be integrated into smart contract logic to gate access to features like higher borrowing limits, exclusive governance proposals, or whitelisted minting events.

Designing the reputation accrual mechanism is critical. The logic must be transparent, Sybil-resistant, and aligned with protocol goals. Common models include: - Activity-based: Minting reputation for successful votes, executed proposals, or consistent liquidity provision. - Merit-based: Awarded by existing reputable members or decentralized councils via a vote. - Time-based: Implementing a decay function (reputation = initial_score * e^(-k * time)) to ensure active participation. The minting contract should be permissionless yet secure, often requiring proofs of specific on-chain events. Avoid mechanisms that can be easily gamed by simple, repetitive transactions.

Integrating this reputation into access control is done through modified smart contract functions. Instead of a simple require(balanceOf(user) > 0), you would check the reputation token balance or its metadata. For example, a lending protocol might use a CreditModule that checks a user's ReputationNFT tier to set a collateral factor. In governance, a Governor contract could be extended to require a minimum reputation score to create a proposal, while voting power could be a combination of native tokens and reputation points. This separates the economic stake from the proven track record.

A basic implementation involves two core contracts: a ReputationMinter and a ReputationGatedContract. The minter handles the logic for awarding and burning reputation tokens. The gated contract, such as a governor, uses the IERC721 interface to check holdings. Here's a simplified snippet for a gated function:

solidity
import "@openzeppelin/contracts/token/ERC721/IERC721.sol";
contract ReputationGatedGovernor {
    IERC721 public immutable reputationNFT;
    uint256 public constant MIN_REPUTATION_ID = 1; // Represents Tier 1
    function propose(address[] memory targets, uint256[] memory values, bytes[] memory calldatas, string memory description) public returns (uint256) {
        require(reputationNFT.balanceOf(msg.sender) > 0, "No reputation");
        // Additional logic to require holding a specific NFT ID (Tier)
        // require(reputationNFT.ownerOf(MIN_REPUTATION_ID) == msg.sender, "Insufficient reputation tier");
        ... // Rest of propose logic
    }
}

Key considerations for production systems include Sybil resistance, decay mechanisms, and upgradability. A pure on-chain activity score can be farmed by bots, so combining it with off-chain attestations (like Proof of Humanity or Gitcoin Passport) adds robustness. Decay functions prevent reputation stagnation. Furthermore, the reputation logic should be upgradeable via governance to adapt to new goals, but the minting rules must be carefully guarded to maintain system integrity. Projects like SourceCred (for community contribution) and Coordinape (for peer recognition) offer conceptual frameworks for these models.

Ultimately, token-backed reputation creates a more nuanced and fair governance layer. It allows protocols to weight influence not just by capital, but by proven contribution and aligned behavior. This can reduce plutocratic tendencies and foster a more engaged, responsible community. When implementing, start with a simple, transparent scoring model, integrate it into one core governance function, and iterate based on community feedback and on-chain data analysis.

TOKEN-BACKED REPUTATION

Frequently Asked Questions (FAQ)

Common technical questions and solutions for developers building on-chain reputation systems using token staking, slashing, and delegation.

Token-staked reputation requires users to lock (stake) assets into a smart contract as collateral. This stake can be slashed for malicious behavior, creating a direct financial incentive for good conduct. Systems like EigenLayer's restaking or Polygon's dPoS use this model.

Token-gated reputation uses token ownership as a simple access pass, without the risk of slashing. Holding an NFT or fungible token grants permissions (e.g., entering a DAO forum), but losing the token removes access without a penalty history. Staked systems are better for trust networks, while gated systems are for membership.

conclusion-next-steps
IMPLEMENTATION PATH

Conclusion and Next Steps

This guide has outlined the core components for building a token-backed reputation system. The next step is to integrate these concepts into a functional protocol.

You now have the foundational knowledge to design a reputation system using on-chain tokens. The key is to combine the principles of Sybil resistance, value alignment, and decentralized governance. Start by defining your system's primary goal: is it for governance weight, access control, or social signaling? Your answer will determine whether you use a non-transferable Soulbound Token (SBT) for pure identity or a transferable utility token with reputation staking mechanics. For most decentralized applications, a hybrid model using a non-transferable SBT as the core identity, which accrues a reputation score, is the most robust starting point.

For implementation, begin with the smart contract architecture. Use the ERC-721 standard for SBTs (e.g., OpenZeppelin's library) and implement a separate mapping or struct to store the mutable reputation score. A basic increment function, guarded by a permissioned onlyGovernance modifier, is a safe first step. Consider using an oracle or a zk-proof for off-chain verification of actions before on-chain minting or scoring. Test your contracts extensively on a testnet like Sepolia, focusing on edge cases where users may try to game the system.

The next phase involves integrating your reputation system with the broader application. This could mean gating governance proposals in a DAO based on a minimum reputation score, unlocking features in a dApp, or calculating voting power. Use a relayer or gasless transaction pattern to improve user experience for SBT minting. Remember to design a clear decay mechanism or slashing condition from the outset to maintain system health. Document the rules transparently for users.

Finally, plan for long-term evolution. Reputation systems must adapt. Establish a clear governance process, potentially led by high-reputation entities, to upgrade scoring parameters, add new verification sources, or respond to attacks. Explore advanced concepts like context-specific reputation using attestation standards from EAS (Ethereum Attestation Service) or portable reputation via cross-chain protocols like LayerZero. The field is rapidly evolving, so engage with communities and research from projects like Gitcoin Passport and Orange Protocol to stay current.

How to Design Token-Backed Reputation Systems | ChainScore Guides